Intelligent processing system for equipment monitoring data of urban rail transit based on IOT perception

Abstract

In view of the variety of rail transit equipment monitoring, the large amount of real-time data collection, and the difficulty of classification and screening of fault and alarm data, this paper proposes a standardized interface based on keyword recognition, which realizes the process monitoring of access, storage, forwarding, verification, supplementary transmission and supplementary recording of external source data through the method of data collection and batch processing. Using an intelligent fast processing algorithm, by setting a certain data structure, keyword recognition, data table template method, we can quickly obtain massive interface system data, and perform the conversion and analysis of them to standardized interface data. To solve the problems of low efficiency of large-scale data acquisition, long data access process and many errors caused by large and changeable data points, the approach can improve the accuracy and efficiency of data acquisition.